{"title":"Forecasting interrupted time series","authors":"Rob J. Hyndman, Bahman Rostami-Tabar","doi":"10.1080/01605682.2024.2395315","DOIUrl":null,"url":null,"abstract":"Forecasting interrupted time series data is a major challenge for forecasting teams, especially in light of events such as the COVID-19 pandemic. This paper investigates several strategies for deal...","PeriodicalId":17308,"journal":{"name":"Journal of the Operational Research Society","volume":"33 1","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Operational Research Society","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1080/01605682.2024.2395315","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MANAGEMENT","Score":null,"Total":0}
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Abstract
Forecasting interrupted time series data is a major challenge for forecasting teams, especially in light of events such as the COVID-19 pandemic. This paper investigates several strategies for deal...
期刊介绍：
JORS is an official journal of the Operational Research Society and publishes original research papers which cover the theory, practice, history or methodology of OR.
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